AI Platform Engineer II

About the role

As Enterprise AI’s delivery portfolio grows and GenAI and agentic solutions move from pilot to production, the platform must scale reliably and safely.

What you'll do

• Hands-on experience operating API gateways or AI/LLM gateways, including routing, rate limiting, authentication, and policy enforcement for AI traffic
• Working knowledge of Model Context Protocol (MCP) and agentic patterns — tool calling, orchestration, and agent frameworks — and of how context is retrieved, managed
• Experience operating production services with defined SLOs, observability, and incident management
• Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as a primary development mode

What you need

• 6–11 yrs of experience
• LLMs
• IAM
• Azure
• GCP
• Machine learning
• Python
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Terraform
• CI/CD
• Kubernetes
• AWS
• Elasticsearch
• Network security